"Since a law of mathematics refers to reality, it cannot be certain, and if it is certain, it cannot refer to reality." This classic saying by Albert Einstein best encapsulates the necessity of understanding the rules governing uncertainty, namely probability theory.

The goal of this book is to introduce the reader to the secrets of the field of probability, presenting both the necessary theory and interesting examples from various scientific areas. The required concepts are provided with the utmost simplicity and clarity, while not sacrificing mathematical correctness and logical consistency.

In selecting the solved examples and the exercises proposed for solution, special emphasis was placed on applications that demonstrate the usefulness of probability theory in addressing real-world problems.

The material covered in this book meets the needs of an introductory university course in probability theory, while the mathematical background required for understanding it is the knowledge acquired upon completing high school studies.

The presentation of the material starts from the basics and does not require any prior knowledge of the field of probability. Therefore, this manual could serve as a useful aid for teachers in the final year of the unified high schools in the country, where introductory concepts of probability are covered.

It includes the chapters:

• Calculus of events
• Conditional probability
• Random variables
• Discrete variables
• Continuous distributions